3D Bar Chart

100%

✓ Published0🌍 Public

Last edited Apr 5, 2023

Created on Apr 4, 2023

This example displays a 3D bar chart using Three.js to visualize mass shooting data from a CSV file. It shows the total fatalities and injured victims for each state as red and green bars that are positioned along a three-dimensional grid. The chart builds its scene using Three.js primitives like `THREE.BoxGeometry` and `THREE.MeshBasicMaterial`, while D3.js handles CSV loading and scaling via `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear`. The scene renders with a perspective camera and an animated `requestAnimationFrame` loop.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Bar chart with D3.js

A bar chart displays total victims of mass shootings across ten US states, with California, Texas, and Florida leading. Hovering over a bar highlights it, dims value labels, and draws a dashed threshold line showing the divergence of other states from the selected one. The visualization uses D3 v5 with SVG rendering, scales such as `d3.scaleBand` and `d3.scaleLinear`, and axis generators for gridlines. Data comes from an embedded sample array, while CSS styles the container, bars, and text.

Ssenthilrajendran1

81% match

Loading thumbnail…

ICE 6 - Rendering Marks and Channels with React & D3

This example visualizes the total victims of mass shootings in the top 30 U.S. states using a horizontal bar chart. Built with React and D3 v5, the SVG rendering maps each state to a band scale on the y-axis and a linear scale on the x-axis, encoding victim counts as bar widths. The code loads CSV data via `d3.csv`, applies `scaleBand` and `scaleLinear`, and manually renders axes and gridlines using `d3.axisBottom` and `d3.axisLeft` alternatives. State names are labeled alongside each bar, with tick marks drawn as blue lines.

Ssenthilrajendran1

79% match

Loading thumbnail…

3D Bar Chart

This example visualizes a simple dataset of four rectangular bars as a three-dimensional bar chart, with each bar’s height representing its value and the entire group tilted in perspective. The bars are drawn on an HTML canvas element using a 3D projection provided by the `d3._3d` API, which handles rotation and perspective scaling. The code relies on D3.js v7 for data binding and scale construction, while rendering is performed manually via Canvas 2D context methods like `beginPath` and `fill`, with the projection transforming each bar’s corners into 2D screen coordinates.

NNaveen Kumar

78% match

Loading thumbnail…

3D Bar Chart using D3.js

This example shows a 3D bar chart visualizing PS4 sales across global regions, with each bar representing a game and segments for North America, Europe, Japan, and the rest of the world. It uses the d3-x3d library to render the chart as X3D scenes within a React page, combining d3.csv for data loading and standard D3 scales for layout. The chart holder initially loads random data, then replaces it with the parsed CSV data from a GitHub gist, displaying the multi-series bars in an interactive 3D space.

Aanushaanumula

78% match

Loading thumbnail…

3D Bar Chart using D3.js

This example visualizes cement sales for the first six months as a 3D bar chart, with each construction category represented by a series of colored bars. It uses the d3-3d plugin to project the bars into three dimensions, while the d3-x3d library renders the scene through X3DOM in the browser. The data is loaded from a CSV file via `d3.csv`, and the chart is generated using the `d3.x3d.chart.barChartMultiSeries()` component, with axes and scales provided by D3 v5. The visualization supports interactive rotation, allowing viewers to inspect the data from multiple angles.

UUNTAdityaAnanthula

78% match

Loading thumbnail…

3D Bar Chart using D3.js

This example visualizes supermarket sales data as an interactive 3D bar chart, with each bar representing a city across multiple months. The visualization uses D3.js v5 for data loading and layout, combined with the d3-3d library to extrude bars into three dimensions, and X3DOM for WebGL rendering of the 3D scene. Sales figures are parsed from a CSV file via `d3.csv`, and the chart is created using `d3.x3d.chart.barChartMultiSeries()`, which manages axes and bar positioning in 3D space. The rendering approach leverages the d3-x3d bridge to convert D3 selections into X3D DOM elements for real-time interactivity.

SsreepavanKothapalli

77% match

Loading thumbnail…

3D Bar Chart with d3.js

This example creates a 3D bar chart using the d3-3d extension in an SVG context, displaying categorical values as extruded cubes. It loads data from a Plotly datasets CSV file, then transforms it using d3.scaleBand for the x-axis, d3.scaleLinear for the y-axis, and d3.scaleOrdinal with a category color scheme. The chart applies rotations via rotateX, rotateY, and rotateZ transforms to orient the 3D scene.

Vviswak12

77% match

Loading thumbnail…

3D Bar Chart

This example displays the top 10 countries most affected by COVID-19 as a 3D bar chart using the d3-x3d library, which bridges D3.js with X3D for WebGL rendering. The bars are generated from a CSV dataset containing case counts per country, loaded asynchronously via d3.csv. The chart uses d3.x3d.chart.barChartMultiSeries to create the three-dimensional visualization, with the axis and layout handled by the x3dom framework. The page includes custom CSS for styling the title and center alignment.

HHarshinireddyy19

77% match